Hugging Face's logo

med-alex
/
xlm-roberta-large-squad-ft-qa-tr-mt-to-uzn

Question Answering
Transformers
TensorBoard
Safetensors
Uzbek
xlm-roberta
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
xlm-roberta-large-squad-ft-qa-tr-mt-to-uzn
File size: 3,945 Bytes 
18bd433
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
 
{
  "best_metric": 84.25954102103677,
  "best_model_checkpoint": "/root/turkic_qa/tr_uzn_models/tr_uzn_xlm_roberta_large_squad_model/checkpoint-4060",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 4060,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "step": 812,
      "train_exact_match": 67.33266733266733,
      "train_f1": 84.16624209950214,
      "train_runtime": 38.4449,
      "train_samples_per_second": 43.179,
      "train_steps_per_second": 1.561
    },
    {
      "epoch": 1.0,
      "grad_norm": 38.27867126464844,
      "learning_rate": 1e-05,
      "loss": 0.96,
      "step": 812
    },
    {
      "epoch": 1.0,
      "eval_exact_match": 65.96875,
      "eval_f1": 82.56564918433806,
      "eval_runtime": 118.2731,
      "eval_samples_per_second": 43.214,
      "eval_steps_per_second": 1.547,
      "step": 812
    },
    {
      "epoch": 2.0,
      "step": 1624,
      "train_exact_match": 79.32067932067932,
      "train_f1": 90.47712960156771,
      "train_runtime": 37.8398,
      "train_samples_per_second": 42.997,
      "train_steps_per_second": 1.559
    },
    {
      "epoch": 2.0,
      "grad_norm": 50.23493576049805,
      "learning_rate": 7.500000000000001e-06,
      "loss": 0.6242,
      "step": 1624
    },
    {
      "epoch": 2.0,
      "eval_exact_match": 68.4375,
      "eval_f1": 84.06100133020266,
      "eval_runtime": 118.0295,
      "eval_samples_per_second": 43.303,
      "eval_steps_per_second": 1.55,
      "step": 1624
    },
    {
      "epoch": 3.0,
      "step": 2436,
      "train_exact_match": 81.31868131868131,
      "train_f1": 91.7552771568634,
      "train_runtime": 36.6816,
      "train_samples_per_second": 43.046,
      "train_steps_per_second": 1.554
    },
    {
      "epoch": 3.0,
      "grad_norm": 10.1982421875,
      "learning_rate": 5e-06,
      "loss": 0.4159,
      "step": 2436
    },
    {
      "epoch": 3.0,
      "eval_exact_match": 67.96875,
      "eval_f1": 83.74509639678304,
      "eval_runtime": 118.288,
      "eval_samples_per_second": 43.208,
      "eval_steps_per_second": 1.547,
      "step": 2436
    },
    {
      "epoch": 4.0,
      "step": 3248,
      "train_exact_match": 86.81318681318682,
      "train_f1": 94.84718111795424,
      "train_runtime": 36.8975,
      "train_samples_per_second": 43.174,
      "train_steps_per_second": 1.545
    },
    {
      "epoch": 4.0,
      "grad_norm": 14.403440475463867,
      "learning_rate": 2.5e-06,
      "loss": 0.2868,
      "step": 3248
    },
    {
      "epoch": 4.0,
      "eval_exact_match": 69.21875,
      "eval_f1": 83.92338168335839,
      "eval_runtime": 118.3768,
      "eval_samples_per_second": 43.176,
      "eval_steps_per_second": 1.546,
      "step": 3248
    },
    {
      "epoch": 5.0,
      "step": 4060,
      "train_exact_match": 90.40959040959041,
      "train_f1": 95.51651922991793,
      "train_runtime": 36.9341,
      "train_samples_per_second": 43.212,
      "train_steps_per_second": 1.543
    },
    {
      "epoch": 5.0,
      "grad_norm": 36.00727081298828,
      "learning_rate": 0.0,
      "loss": 0.2153,
      "step": 4060
    },
    {
      "epoch": 5.0,
      "eval_exact_match": 69.71875,
      "eval_f1": 84.25954102103677,
      "eval_runtime": 118.2561,
      "eval_samples_per_second": 43.22,
      "eval_steps_per_second": 1.547,
      "step": 4060
    },
    {
      "epoch": 5.0,
      "step": 4060,
      "total_flos": 7.910493982198272e+16,
      "train_loss": 0.5004441698196487,
      "train_runtime": 7390.7618,
      "train_samples_per_second": 15.366,
      "train_steps_per_second": 0.549
    }
  ],
  "logging_steps": 500,
  "max_steps": 4060,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 7.910493982198272e+16,
  "train_batch_size": 28,
  "trial_name": null,
  "trial_params": null
}